Search Results for author: Hong Qin

Found 33 papers, 14 papers with code

The Emergent Aging Model: Aging as an Emergent Property of Biological Systems

no code implementations7 Jul 2024 Hong Qin

Based on the study of cellular aging using the single-cell model organism of budding yeast and corroborated by other studies, we propose the Emergent Aging Model (EAM).

Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction

no code implementations1 Jun 2024 Cheng Xu, Fei Hou, Wencheng Wang, Hong Qin, Zhebin Zhang, Ying He

While Signed Distance Fields (SDF) are well-established for modeling watertight surfaces, Unsigned Distance Fields (UDF) broaden the scope to include open surfaces and models with complex inner structures.

3D Reconstruction Surface Reconstruction

A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure

no code implementations3 Jan 2024 YanJie Li, Weijun Li, Lina Yu, Min Wu, Jinyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng, Liping Zhang, Xiaoli Dong, Hong Qin, Xin Ning, Yugui Zhang, Baoli Lu, Jian Xu, Shuang Li

Multilayer perception (MLP) has permeated various disciplinary domains, ranging from bioinformatics to financial analytics, where their application has become an indispensable facet of contemporary scientific research endeavors.

Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model

1 code implementation CVPR 2024 Wenfeng Song, Xingliang Jin, Shuai Li, Chenglizhao Chen, Aimin Hao, Xia Hou, Ning li, Hong Qin

Our MCM-LDM's cornerstone lies in its ability first to disentangle and then intricately weave together motion's tripartite components: motion trajectory motion content and motion style.

Motion Style Transfer Style Transfer

HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models

no code implementations CVPR 2024 Wenfeng Song, Xinyu Zhang, Shuai Li, Yang Gao, Aimin Hao, Xia Hou, Chenglizhao Chen, Ning li, Hong Qin

To date the quest to rapidly and effectively produce human-object interaction (HOI) animations directly from textual descriptions stands at the forefront of computer vision research.

Denoising Human-Object Interaction Detection

Robust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering

1 code implementation5 Oct 2023 Fei Hou, Xuhui Chen, Wencheng Wang, Hong Qin, Ying He

We show that the computed iso-surface is the boundary of the $r$-offset volume of the target zero level-set $S$, which is an orientable manifold, regardless of the topology of $S$.

WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning

2 code implementations23 May 2023 Guotao Wang, Chenglizhao Chen, Aimin Hao, Hong Qin, Deng-Ping Fan

The main reason is that there always exist "blind zooms" when using HMD to collect fixations since the users cannot keep spinning their heads to explore the entire panoptic scene all the time.

Salient Object Detection via Dynamic Scale Routing

1 code implementation25 Oct 2022 Zhenyu Wu, Shuai Li, Chenglizhao Chen, Hong Qin, Aimin Hao

First, instead of using the vanilla convolution with fixed kernel sizes for the encoder design, we propose the dynamic pyramid convolution (DPConv), which dynamically selects the best-suited kernel sizes w. r. t.

Decoder Object +3

Cointegration of SARS-CoV-2 Transmission with Weather Conditions and Mobility during the First Year of the COVID-19 Pandemic in the United States

no code implementations29 Mar 2022 Hong Qin, Syed Tareq, William Torres, Megan Doman, Cleo Falvey, Jamaree Moore, Meng Hsiu Tsai, Yingfeng Wang, Azad Hossain, Mengjun Xie, Li Yang

We examined the cointegration of the effective reproductive rate, Rt, of the virus with the dewpoint at two meters, the temperature at two meters, Apple driving mobility, and Google workplace mobility measurements.

Time Series Time Series Analysis

Shifting Trends of COVID-19 Tweet Sentiment with Respect to Voting Preferences in the 2020 Election Year of the United States

no code implementations15 Feb 2022 Megan Doman, Jacob Motley, Hong Qin, Mengjun Xie, Li Yang

COVID-19 related policies were extensively politicized during the 2020 election year of the United States, resulting in polarizing viewpoints.

Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity Perception

1 code implementation27 Dec 2021 Guotao Wang, Chenglizhao Chen, Deng-Ping Fan, Aimin Hao, Hong Qin

Moreover, we distill knowledge from these regions to obtain complete new spatial-temporal-audio (STA) fixation prediction (FP) networks, enabling broad applications in cases where video tags are not available.

Video Saliency Detection

Knowledge-inspired 3D Scene Graph Prediction in Point Cloud

no code implementations NeurIPS 2021 Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin

Unlike conventional methods that learn knowledge embedding and regular patterns from encoded visual information, we propose to suppress the misunderstandings caused by appearance similarities and other perceptual confusion.

Learning Continuous Face Representation with Explicit Functions

no code implementations25 Oct 2021 Liping Zhang, Weijun Li, Linjun Sun, Lina Yu, Xin Ning, Xiaoli Dong, Jian Xu, Hong Qin

First, we propose an explicit model (EmFace) for human face representation in the form of a finite sum of mathematical terms, where each term is an analytic function element.

Decoder Denoising +1

From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach

1 code implementation CVPR 2021 Guotao Wang, Chenglizhao Chen, Deng-Ping Fan, Aimin Hao, Hong Qin

Thanks to the rapid advances in the deep learning techniques and the wide availability of large-scale training sets, the performances of video saliency detection models have been improving steadily and significantly.

Video Saliency Detection

Geometric Electrostatic Particle-In-Cell Algorithm on Unstructured Meshes

no code implementations15 Dec 2020 Zhenyu Wang, Hong Qin, Benjamin Sturdevant, Choong-Seock Chang

We compare the energy conservation property of the geometric PIC algorithm derived from the discrete variational principle with that of previous PIC methods on unstructured meshes.

Plasma Physics

Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter

no code implementations10 Aug 2020 Zhen-Yu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

In sharp contrast to the state-of-the-art (SOTA) methods that focus on learning pixel-wise saliency in "single image" using perceptual clues mainly, our method has investigated the "object-level semantic ranks between multiple images", of which the methodology is more consistent with the real human attention mechanism.

Object object-detection +3

Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

1 code implementation7 Aug 2020 Xuehao Wang, Shuai Li, Chenglizhao Chen, Yuming Fang, Aimin Hao, Hong Qin

Existing RGB-D salient object detection methods treat depth information as an independent component to complement its RGB part, and widely follow the bi-stream parallel network architecture.

object-detection RGB-D Salient Object Detection +1

A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset

no code implementations7 Aug 2020 Zhen-Yu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

Compared with the conventional hand-crafted approaches, the deep learning based methods have achieved tremendous performance improvements by training exquisitely crafted fancy networks over large-scale training sets.

4k object-detection +2

Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection

1 code implementation7 Aug 2020 Xuehao Wang, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

Previous RGB-D salient object detection (SOD) methods have widely adopted deep learning tools to automatically strike a trade-off between RGB and D (depth), whose key rationale is to take full advantage of their complementary nature, aiming for a much-improved SOD performance than that of using either of them solely.

object-detection RGB-D Salient Object Detection +2

Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

1 code implementation7 Aug 2020 Chenglizhao Chen, Guotao Wang, Chong Peng, Dingwen Zhang, Yuming Fang, Hong Qin

In this way, even though the overall video saliency quality is heavily dependent on its spatial branch, however, the performance of the temporal branch still matter.

object-detection Salient Object Detection +2

Depth Quality Aware Salient Object Detection

1 code implementation7 Aug 2020 Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin

The existing fusion based RGB-D salient object detection methods usually adopt the bi-stream structure to strike the fusion trade-off between RGB and depth (D).

Object object-detection +3

Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

1 code implementation7 Aug 2020 Zhen-Yu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

Finally, all these complementary multi-model deep features will be selectively fused to make high-performance salient object detections.

Diversity object-detection +2

GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian

no code implementations3 Aug 2020 Liping Zhang, Weijun Li, Lina Yu, Xiaoli Dong, Linjun Sun, Xin Ning, Jian Xu, Hong Qin

The GmNet is then designed using Gaussian functions as neurons, with parameters that correspond to each of the parameters of GmFace in order to transform the problem of GmFace parameter solving into a network optimization problem of GmNet.

Face Model

A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data

1 code implementation2 Aug 2020 Yunxiao Li, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

With the rapid development of deep learning techniques, image saliency deep models trained solely by spatial information have occasionally achieved detection performance for video data comparable to that of the models trained by both spatial and temporal information.

Video Saliency Detection

Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling

no code implementations14 Feb 2020 Dongbo Zhang, Xuequan Lu, Hong Qin, Ying He

In this paper, we propose a novel deep learning approach that automatically and robustly filters point clouds with removing noise and preserving sharp features and geometric details.

Graphics

Nationality Classification Using Name Embeddings

1 code implementation25 Aug 2017 Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena

Through our analysis of 57M contact lists from a major Internet company, we are able to design a fine-grained nationality classifier covering 39 groups representing over 90% of the world population.

Classification General Classification

Preference-based performance measures for Time-Domain Global Similarity method

no code implementations30 Jun 2017 Ting Lan, Jian Liu, Hong Qin

To obtain the general expressions of performance measures based on the preferences of tasks, the mapping relations between performance of TDGS method about physical similarity and correctness of data sequences are investigated by probability theory in this paper.

Binary Classification General Classification

Improvement of training set structure in fusion data cleaning using Time-Domain Global Similarity method

no code implementations30 Jun 2017 Jian Liu, Ting Lan, Hong Qin

Traditional data cleaning identifies dirty data by classifying original data sequences, which is a class$-$imbalanced problem since the proportion of incorrect data is much less than the proportion of correct ones for most diagnostic systems in Magnetic Confinement Fusion (MCF) devices.

Classification General Classification

Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph

no code implementations13 May 2017 Shuchu Han, Hao Huang, Hong Qin

The redundant features existing in high dimensional datasets always affect the performance of learning and mining algorithms.

feature selection Sparse Learning

A network model for cellular aging

1 code implementation24 May 2013 Hong Qin

Our model predicts that the rate of aging, defined by the Gompertz coefficient, is approximately proportional to the average number of active interactions per gene and that the stochastic heterogeneity of gene interactions is an important factor in the dynamics of the aging process.

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